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Gemma 4 31B

Open weights Google 2026-05 262K context

The most permissively licensed local model; 75.8% on science reasoning shows the ceiling for small models

Intelligence v5
— v4.3.2 19.0
Leaderboard rank
—
Input / output
$0.10/$0.40
Blended 3:1
$0.17
Output speed
200 tok/s
Value
—
Capability profile Normalised to the field maximum
Specifications
Vendor
Google
Released
2026-05
Weights
Open (Apache-2.0)
Context
262,144 tokens
Max output
Undisclosed
Parameters
31B dense
Input price
$0.10 / 1M
Output price
$0.40 / 1M
Cache hit
n/a
Output speed
200 tok/s
Intelligence
19.0(v4.3.2)

Benchmark scores

How it is measured →

Bars are scaled to the field maximum for that benchmark.

BenchmarksScoreVs. best in fieldGap
AA Intelligence Index v5——not indexed
AA Intelligence Index v4.3.2 Intelligence index (legacy) 19.033% −38.6 pts
GPQA Diamond Graduate-level science reasoning 75.879% −20.6 pts
Terminal-Bench 4.0——not indexed
LiveBench Design Document generation (DOCX/PPT/PDF) 58.467% −28.5 pts
Vals Index Vals composite index 16.823% −56.3 pts

Assessment

Apache-2.0 in four sizes: 2B, 4B, 26B (A4B) and 31B. GPQA Diamond is 75.8% under the minimal-reasoning setting against 95%+ for the leaders — a 20-point gap that local deployment simply has to accept.

At the same price

The four models closest on blended price, side by side.

Modelv5Blendedtok/sScore gap
Claude Haiku 5.5Anthropic 36.2 $0.20 235 —
MiniMax M3.1 FlashMiniMax 29.0 $0.26 118 —
DeepSeek V4.1 Flash Open weightsDeepSeek 32.5 $0.53 148 —
MiMo-V2.6 Pro Open weightsXiaomi 30.0 $0.61 81 —

Compare side by side

Line it up against other models on price, speed and every benchmark.

The comparison tool lines up to 4 models side by side with switchable normalisation — built for purchasing decisions.

Open the comparison tool → Back to leaderboard

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